x1xhlol/system-prompts-and-models-of-ai-toolsPublic

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

AI summary: A collection of leaked or reverse-engineered system prompts and model details from popular AI tools.

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GPL-3.0Created Mar 5, 2025Last push today+150 stars this week+221 this month

Star history

since Mar 2, 2025
050K100KMar 2025Aug 2025Feb 2026Aug 2026
142.6K stars as of Aug 7, 2026, tracked back to Mar 2, 2025. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

Contribution activity

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245 commits in the last yearLessMore

Signals and awards

derived from tracked data

  • Landmark project

    142,640 stars

  • Actively maintained

    Pushed within 48 hours

  • Repeat trending

    8 trending appearances

  • Top 10% tracked

    Rank 37 of 1058

What system-prompts-and-models-of-ai-tools does

This repository archives the foundational system prompts and model configurations used by prominent commercial AI tools and applications. It aims to demystify how companies construct the initial context and behavioral guardrails for their AI features. By examining these system prompts, developers can learn advanced prompt engineering techniques, such as how to define rigid personas, enforce output formats, and prevent jailbreaks. The collection serves as an educational resource for understanding the hidden instructions that drive user-facing AI interactions. It provides a rare look under the hood of production-grade AI systems.

This repository is for AI researchers, prompt engineers, and developers who want to study production-grade AI architectures. It is highly valuable for anyone looking to improve the reliability and safety of their own LLM applications.

  • Production prompt archive: Collects the actual system instructions used by successful commercial AI applications.
  • Model configuration details: Documents which specific underlying models and parameters these tools employ.
  • Reverse-engineering insights: Showcases techniques used by researchers to extract these hidden prompts.
  • Advanced prompt patterns: Reveals how industry leaders structure complex instructions and behavioral guardrails.
  • Educational resource: Provides concrete examples for developers looking to build their own robust AI agents.

Where teams use it

Studying Prompt Architecture

AI developers can analyze the collected prompts to learn how to structure complex, multi-part instructions for their own tools.

Improving AI Guardrails

Security researchers can review the prompts to understand how commercial tools attempt to prevent abuse and jailbreaking.

Replicating Tool Behavior

Engineers can use the archived prompts as a starting point to build open-source alternatives with similar functionality.

Analyzing Model Selection

Product managers can evaluate which specific LLM models successful tools are choosing for different tasks.

Getting started: Clone the repository and browse the markdown files for specific tools.

README

main branch
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LeaksLab Discord

x1xhlol%2Fsystem-prompts-and-models-of-ai-tools | Trendshift

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Security Notice for AI Startups

Warning: If you're an AI startup, make sure your data is secure. Exposed prompts or AI models can easily become a target for hackers.

Important: Interested in securing your AI systems?
Check out ZeroLeaks, a service designed to help startups identify and secure prompt injection and system prompt extraction risks.

Support the Project

If you find this collection valuable and appreciate the effort involved in obtaining and sharing these insights, please consider supporting the project.

You can show your support via:

Thank you for your support!

Sponsors

Sponsor the most comprehensive repository of AI system prompts and reach thousands of developers.

Get Started

Roadmap & Feedback

Open an issue.

Latest Update: 12/07/2026

Connect With Me

  • X: Lucknite
  • Discord: x1xhlol
  • Email: lucasvalbuena@pm.me

Drop a star if you find this useful!

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Discussions

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Code frequency

additions and deletions
+6K-6KWeek of 2025-08-03: +241 linesWeek of 2025-08-03: -25 linesWeek of 2025-08-10: +1,125 linesWeek of 2025-08-10: -848 linesWeek of 2025-08-17: +5,902 linesWeek of 2025-08-17: -1,626 linesWeek of 2025-08-24: +4,929 linesWeek of 2025-08-24: -2,115 linesWeek of 2025-08-31: +1,315 linesWeek of 2025-08-31: -233 linesWeek of 2025-09-07: +3,049 linesWeek of 2025-09-07: -1,313 linesWeek of 2025-09-14: +6,003 linesWeek of 2025-09-14: -1,901 linesWeek of 2025-09-21: +166 linesWeek of 2025-09-21: -2 linesWeek of 2025-09-28: +2,335 linesWeek of 2025-09-28: -835 linesWeek of 2025-10-05: +0 linesWeek of 2025-10-05: -0 linesWeek of 2025-10-12: +1,214 linesWeek of 2025-10-12: -27 linesWeek of 2025-10-19: +146 linesWeek of 2025-10-19: -129 linesWeek of 2025-10-26: +2 linesWeek of 2025-10-26: -2 linesWeek of 2025-11-02: +2,566 linesWeek of 2025-11-02: -353 linesWeek of 2025-11-09: +923 linesWeek of 2025-11-09: -439 linesWeek of 2025-11-16: +1,183 linesWeek of 2025-11-16: -411 linesWeek of 2025-11-23: +4 linesWeek of 2025-11-23: -11 linesWeek of 2025-11-30: +2,347 linesWeek of 2025-11-30: -2,346 linesWeek of 2025-12-07: +0 linesWeek of 2025-12-07: -0 linesWeek of 2025-12-14: +1 linesWeek of 2025-12-14: -1 linesWeek of 2025-12-21: +0 linesWeek of 2025-12-21: -0 linesWeek of 2025-12-28: +1,153 linesWeek of 2025-12-28: -1 linesWeek of 2026-01-04: +183 linesWeek of 2026-01-04: -165 linesWeek of 2026-01-11: +11 linesWeek of 2026-01-11: -3 linesWeek of 2026-01-18: +1 linesWeek of 2026-01-18: -1 linesWeek of 2026-01-25: +0 linesWeek of 2026-01-25: -0 linesWeek of 2026-02-01: +1,256 linesWeek of 2026-02-01: -337 linesWeek of 2026-02-08: +0 linesWeek of 2026-02-08: -0 linesWeek of 2026-02-15: +26 linesWeek of 2026-02-15: -26 linesWeek of 2026-02-22: +0 linesWeek of 2026-02-22: -0 linesWeek of 2026-03-01: +2,401 linesWeek of 2026-03-01: -1,210 linesWeek of 2026-03-08: +339 linesWeek of 2026-03-08: -596 linesWeek of 2026-03-15: +0 linesWeek of 2026-03-15: -0 linesWeek of 2026-03-22: +11 linesWeek of 2026-03-22: -41 linesWeek of 2026-03-29: +0 linesWeek of 2026-03-29: -0 linesWeek of 2026-04-05: +0 linesWeek of 2026-04-05: -0 linesWeek of 2026-04-12: +0 linesWeek of 2026-04-12: -7 linesWeek of 2026-04-19: +0 linesWeek of 2026-04-19: -0 linesWeek of 2026-04-26: +18 linesWeek of 2026-04-26: -0 linesWeek of 2026-05-03: +3 linesWeek of 2026-05-03: -3 linesWeek of 2026-05-10: +288 linesWeek of 2026-05-10: -181 linesWeek of 2026-05-17: +1 linesWeek of 2026-05-17: -12 linesWeek of 2026-05-24: +0 linesWeek of 2026-05-24: -0 linesWeek of 2026-05-31: +0 linesWeek of 2026-05-31: -0 linesWeek of 2026-06-07: +1,584 linesWeek of 2026-06-07: -4 linesWeek of 2026-06-14: +0 linesWeek of 2026-06-14: -0 linesWeek of 2026-06-21: +0 linesWeek of 2026-06-21: -0 linesWeek of 2026-06-28: +0 linesWeek of 2026-06-28: -0 linesWeek of 2026-07-05: +1,824 linesWeek of 2026-07-05: -911 linesWeek of 2026-07-12: +11 linesWeek of 2026-07-12: -22 linesWeek of 2026-07-19: +0 linesWeek of 2026-07-19: -0 linesWeek of 2026-07-26: +0 linesWeek of 2026-07-26: -0 linesAug 3, 2025Jul 26, 2026
+42.6K lines added, -16.1K removed over the last year.

Commits per week

last 52 weeks
340Week of 2025-08-10: 7 commitsWeek of 2025-08-17: 25 commitsWeek of 2025-08-24: 24 commitsWeek of 2025-08-31: 6 commitsWeek of 2025-09-07: 14 commitsWeek of 2025-09-14: 20 commitsWeek of 2025-09-21: 3 commitsWeek of 2025-09-28: 9 commitsWeek of 2025-10-05: 0 commitsWeek of 2025-10-12: 14 commitsWeek of 2025-10-19: 5 commitsWeek of 2025-10-26: 2 commitsWeek of 2025-11-02: 7 commitsWeek of 2025-11-09: 5 commitsWeek of 2025-11-16: 12 commitsWeek of 2025-11-23: 2 commitsWeek of 2025-11-30: 10 commitsWeek of 2025-12-07: 0 commitsWeek of 2025-12-14: 1 commitsWeek of 2025-12-21: 0 commitsWeek of 2025-12-28: 3 commitsWeek of 2026-01-04: 34 commitsWeek of 2026-01-11: 4 commitsWeek of 2026-01-18: 1 commitsWeek of 2026-01-25: 0 commitsWeek of 2026-02-01: 2 commitsWeek of 2026-02-08: 0 commitsWeek of 2026-02-15: 2 commitsWeek of 2026-02-22: 0 commitsWeek of 2026-03-01: 5 commitsWeek of 2026-03-08: 3 commitsWeek of 2026-03-15: 0 commitsWeek of 2026-03-22: 3 commitsWeek of 2026-03-29: 0 commitsWeek of 2026-04-05: 0 commitsWeek of 2026-04-12: 1 commitsWeek of 2026-04-19: 0 commitsWeek of 2026-04-26: 1 commitsWeek of 2026-05-03: 1 commitsWeek of 2026-05-10: 2 commitsWeek of 2026-05-17: 2 commitsWeek of 2026-05-24: 0 commitsWeek of 2026-05-31: 0 commitsWeek of 2026-06-07: 3 commitsWeek of 2026-06-14: 0 commitsWeek of 2026-06-21: 0 commitsWeek of 2026-06-28: 0 commitsWeek of 2026-07-05: 5 commitsWeek of 2026-07-12: 2 commitsWeek of 2026-07-19: 0 commitsWeek of 2026-07-26: 1 commitsWeek of 2026-08-02: 4 commitsAug 10, 2025Aug 2, 2026
245 commits in the last 52 weeks.

When work happens

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits197 (70%)
Community commits84 (30%)

281 commits in total over the last year.

Trending appearances

DateListRankStars gained
Jun 10, 2026daily#25+17
Feb 28, 2026daily#22+244
Feb 27, 2026daily#13+204
Feb 26, 2026daily#13+267
Feb 25, 2026daily#8+250
Feb 24, 2026daily#2+700
Feb 23, 2026daily#1+704
Feb 22, 2026daily#2+766

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